import pandas as pd
import statsmodels.formula.api as smf
from sqlalchemy import create_engine
import pymysql

db_config = {
    'host': 'localhost',
    'user': 'root',
    'password': 'sjk1234',
    'database': 'tushare',
    'port': 3306,
    'charset': 'utf8mb4'
}

engine = create_engine(f"mysql+pymysql://{db_config['user']}:{db_config['password']}@{db_config['host']}:{db_config['port']}/{db_config['database']}?charset={db_config['charset']}")

conn = pymysql.connect(**db_config)
chunk_size = 10000

df = pd.read_sql_query("SELECT * FROM date_1 WHERE date_1.trade_date BETWEEN '2023-01-01' AND '2023-12-31' and date_1.ts_code = '000001.SZ'",
                       conn,
                       chunksize=chunk_size
                       )
df1 = pd.concat(df, ignore_index=True)


df1['zd_closes'] = round(df1['closes'] - df1['closes'].shift(1)/df1['closes'].shift(1), 2)

df1 = df1.dropna(subset=['zd_closes'])
print(df1)
ex = ['id','ts_code','trade_date','the_date','opens','high','low','closes','pre_closes','changes','pct_chg','vol','amount']
number = df1.select_dtypes(include=['number']).columns.to_list()
number_list = [i for i in number if i not in ex]

formula = 'zd_closes ~ ' + ' + '.join(number_list)
res = smf.ols(formula,data=df1).fit()

print(res.summary())
